EINS_JRA1

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    Network of Excellence inInternet Science

    Kick-off Meeting

    Brussels, 21-22 December 2011

    Kav Salamatian (UoS)

    FP7-ICT-2011.1.6-288021 EINS

    JRA1:Towards a Theory of Internet Science

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    Multidisciplinary context

    INS Kick-off Meeting

    Human sciences:Sociology

    AntropologyPsychology

    Political Science

    Hard sciencesMathematics

    PhysicsBiology

    Economy :MicroeconomyMacroeconomy

    Game Theory

    Statistics

    Engineering sciences

    Computer ScienceCommunication

    ComputerNetworks

    Networking and Internet Science

    InformationTheory

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    Interactions with other JRAs

    Largest JRA in man/monthso 68 man/monthso 21/39 partners involved

    Strong interactions with almost all JRAso In particular JRA 2 and 3

    Fundamental basis for IAI2o Joint Courses and Graduate Programmeso Organisation of Summer Schools

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    WP Objectives

    Bring together various communities involved with

    networks and Interneto Observing similarities, differences and interactions

    among different types of "network",o Discovering fundamental rules and principles applicable

    to a large class of networks regardless of particular technology, protocol, social

    background, economic situation

    o Derive the fundamentals of a Networking/InternetScience

    What differentiate networking from other domains

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    WP Tasks

    1- Discovering fundamental models for network graphso Fundamental metrics (and evolution)

    start from generic metrics and verify start from specific networks and generalize

    o How to measure complexity of a complex network 2-Understanding Cooperation as the basis of networking 3-Studying scaling mechanisms that explain

    o how local interactions (micro-scopic) in network resultsin large scale networks

    o how global interactions (macro-scopic) in network

    influence local interactionso what about meso-scopic level ?

    4-Emergence of collective intelligence

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    1-Fundamental models for network graphs

    To detect and understand laws that help in understanding web

    graphs, human social networks and the Internet itself.o Large spectra of networks

    Social network, Internet, roads, flight paths, brainnetworks, biological networks How they are similar ? How they are different?

    o Aim : Deriving a taxonomy of different graph structures

    Understand the dynamic of network graphso How they evolve ?

    What is the impact of social, economic, human factorsin the evolution

    o Aim : dynamic explicative model that explain how/why the networks topologies have grown totheir observed structure

    Partners: UoS,UCAM ,TUDelft, IIN, NKUA, CNR, LSE,KNAW,WARW, ALB

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    2-Cooperation as the basis of networks

    Networking science is the science that studies cooperation for the

    production, distribution, integration, evaluation and exploitation ofinformation

    Integrating relevant aspects of economic theory into information andcommunication networks analysis integratingo human choice and behaviorso importance of connectivity structureo Special characteristics of information

    Infinitely reproducibility, nonscarceness, etc

    Providing a conceptual platformo For understanding interaction of game theory, information theory, economicso For informing policy development and evaluation, for regulation, social interactions,

    security, etc.

    Partners: UoS, UWARW, ETHZ

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    3- Scaling from local interactions to global networks

    Understanding the underlying scientific laws explaining why human

    and biological systems optimise both overall performance/resilienceof the system, and individual needs of its participants.o To engineer, govern and influence complex systems and networks (both human and

    technological).o To develop a solid theoretical framework that will connect microscopic (local) interactions

    and emergent macroscopic network properties in complex systems.o To overcome the fallacies of design

    Can we design or control the Internet or should weintroduce mechanisms to increase the likelihood thatautonomic interactions at the small scale would yield afunctioning large-scale structure

    Partners: UoS, CERTH, EPFL, UCAM, TUDelft, IIN, UAM, ALB,

    NKUA,WARW

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    4-Emergence of collective intelligence

    Networks results in the emergence of global distributed intelligence.o Using this global intelligence to control the network itselfo To evaluate the environment

    Detect idiosyncratic or systemic, endogenous or exogenous, epidemic or endemic shocks

    Emergence and functioning of human communities based onknowledge sharing and communication;o the world wide web and web-science are simply specific cases of this larger

    perspective.

    Exploit CI in the design of a massive-scale future Internet and,o how availability of a massive amount of content anywhere and anytime could

    impact on the cognitive processes of the humans.

    Partners: UoS, UCAM, TUM, TUDelft, IIN, UAM, ALB, NKUA, CNR,CERTH, WARW

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    JRA1 Action List for the 1st Year

    Roadmap for Internet Science, M12o Contribution to the Roadmap of the Internet Science for FP8

    Large Scale information network roadmap, M12 Workshop on Social Network, from sociology to technology

    o Will be organised around WWW 2012 in Lyon

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    JRA Impacts

    Develop a strong theoretical basis for Internet

    Scienceo Describe its fundamental dimensions/foundationso Provide a multidisciplinary platform for understanding networks

    Strong interaction with other JRAs Can lead eventually to a full new science

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    Issues to be discussed and decided

    How to begin concretely the worko We need to do cross seminars to cross fertilize

    Emergence of a joint jargono Where ? When ? Which format ?

    Workshop, informal meeting, Visioconferences Itunes U format ?

    o Which topic first ?

    Large scale networks ?Network economics ?Complex systems ?

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